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Optimization and control of synchrotron emission in ultraintense laser–solid interactions using machine learning – CORRIGENDUM

Published online by Cambridge University Press:  16 February 2024

Abstract

Type
Corrigendum
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press in association with Chinese Laser Press

Due to an isolated error in the 3D simulation parameters, the laser energy and intensity (calculated using the energy) values were incorrectly stated as 10.9 J and 3×1022 W cm−2, respectively, in Sections 3.3, 7 and 8. The correct values are 39.8 J and 1.1×1023 W cm−2. Similarly, the values stated for the higher energy case, 109 J and 3×1023 W cm−2 in Section 7, should be 398 J and 1.1×1024 W cm−2, respectively.

The conversion efficiencies (which are calculated using the laser energy) shown in Figures 9(d)–9(f) are corrected by multiplying by a constant factor of 0.273. With corrected energies, the synchrotron conversion efficiencies in Section 3.3 now become 4.32%, 4.50% and 1.67% for x f = 0, z R and −z R, respectively, corresponding to changes of +4% and −61% for the positive and negative defocus, respectively.

This error does not affect the conclusions of the article.

References

Goodman, J., King, M., Dolier, E. J., Wilson, R. , Gray, R. J., and McKenna, P. . Optimization and control of synchrotron emission in ultraintense laser–solid interactions using machine learning. High Power Laser Science and Engineering 11, e34 (2023). Cambridge University Press.Google Scholar